======= ctapipe ======= .. image:: http://img.shields.io/travis/cta-observatory/ctapipe.svg?branch=master :target: https://travis-ci.org/cta-observatory/ctapipe :alt: Test Status .. image:: https://api.codacy.com/project/badge/Grade/d4f525fcb5d1421eb3a93dfa4eb5573d :target: https://www.codacy.com/app/karl.kosack/ctapipe?utm_source=github.com&utm_medium=referral&utm_content=cta-observatory/ctapipe&utm_campaign=Badge_Grade :alt: Code Quality .. image:: https://anaconda.org/cta-observatory/ctapipe/badges/installer/conda.svg .. image:: https://codecov.io/gh/cta-observatory/ctapipe/branch/master/graph/badge.svg :target: https://codecov.io/gh/cta-observatory/ctapipe
Low-level data processing pipeline software for CTA (the Cherenkov Telescope Array)
This is code is a prototype data processing framework and is under rapid development. It is not recommended for production use unless you are an expert or developer!
- Code: https://github.com/cta-observatory/ctapipe
- Docs: https://cta-observatory.github.io/ctapipe/
- Example notebooks: https://github.com/cta-observatory/ctapipe/tree/master/examples/notebooks
ctapipe and its dependencies may be installed using the Anaconda or Miniconda package system. We recommend creating a conda virtual environment first, to isolate the installed version and dependencies from your master environment (this is optional).
The following command will set up a conda virtual environment, add the necessary package channels, and download ctapipe and its dependencies. The file environment.yml can be found in this repo. Note this is pre-alpha software and is not yet stable enough for end-users (expect large API changes until the first stable 1.0 release).
conda env create -n cta -f environment.yml
source activate cta
conda install -c cta-observatory ctapipe
Developers should follow the development install instructions found in the documentation <https://cta-observatory.github .io/ctapipe/getting_started>.